Evaluation of an Energy-Efficient Tree-Based Model of Fog Computing

Abstract

A huge number of devices like sensors are interconnected in the IoT (Internet of Things). In the cloud computing model, processes and data are centralized in a cloud. Here, networks are congested and servers are overloaded due to heavy traffic from sensors. In order to reduce the delay time and increase the performance, data and processes to handle the data are distributed to not only servers but also fog nodes in fog computing models. On the other hand, the total electric energy consumed by fog nodes increases to process a sensor data. In this paper, we newly propose a tree-based fog computing model to distribute processes and data to servers and fog nodes so that the total electric energy consumption of nodes can be reduced in the IoT. In the evaluation, we show the total electric energy consumption of nodes in the tree-based model is smaller than the cloud computing model.